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Junior Ai Machine Learning Python Jobs in Boyertown, PA

Coforge

AI Architect

Phoenixville, PA · On-site

Lead design, development, deployment, and lifecycle management of AI and machine learning solutions ... Proficiency with Python, SQL, and modern data/ML platforms (cloud-based preferred) * Strong ...

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Junior Ai Machine Learning Python information

See Boyertown, PA salary details

$45.1K

$91.7K

$137.7K

How much do junior ai machine learning python jobs pay per year?

As of Aug 14, 2026, the average yearly pay for junior ai machine learning python in Boyertown, PA is $91,695.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $92,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior AI machine learning Python engineer, and why are they important?

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What does a junior AI machine learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What are some typical projects or tasks a junior AI machine learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What cities near Boyertown, PA are hiring for Junior Ai Machine Learning Python jobs?

Cities near Boyertown, PA with the most Junior Ai Machine Learning Python job openings:

Junior Ai Machine Learning Python jobs near you

AI Architect

Coforge

Phoenixville, PA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Coforge rating

6.8

Company rating: 6.8 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

161st of 223 rated it services

Job description

Role: AI Architect

Location: Oaks, PA

Mode Of Hire: Full Time

Key Responsibilities

  • Define and own the enterprise AI/ML vision, roadmap, and long-term strategy aligned with business goals
  • Lead design, development, deployment, and lifecycle management of AI and machine learning solutions
  • Build and mentor high-performing AI, data science, and ML engineering teams
  • Partner with Product and Business leaders to identify high-impact AI use cases and prioritize initiatives
  • Establish best practices for model development, validation, monitoring, explainability, and retraining
  • Ensure AI solutions comply with data privacy, security, regulatory, and ethical AI guidelines
  • Oversee AI platform architecture, model pipelines, and MLOps frameworks for scalability and reliability
  • Drive adoption of generative AI, predictive analytics, NLP, and advanced modeling techniques where applicable
  • Communicate AI strategy, performance, and risks clearly to executive leadership and stakeholders
  • Evaluate and manage AI vendors, tools, platforms, and cloud services

Required Qualifications

  • Experience with Financial services, Wealth management is preferred to have.
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field
  • 10+ years of experience in data science, machine learning, or advanced analytics
  • 5+ years in a leadership or people-management role overseeing AI/ML teams
  • Strong hands-on experience with ML models, statistical methods, and AI frameworks
  • Experience deploying AI solutions in production environments at scale
  • Hands on RAG experience: embeddings, retrieval strategies, chunking, metadata/routing, evals, and guardrails.
  • Open source frameworks: strong with LangChain (or similar), plus experience with FastAPI/Flask and async patterns.
  • Azure: practical experience with Azure OpenAI/Models, Azure AI Search, Azure ML, AKS/Container Apps, Key Vault, App Insights/Log Analytics, and Hybrid Private Networking.
  • Terraform: modules, CI/CD integration, and handling nested data structures.
  • MLOps/DevOps: Docker/Kubernetes, CI/CD (Gitlab or Azure DevOps), secrets management, and automated testing.
  • Solid understanding of LLMs (prompting, function/tool calling, structured outputs, rate limiting, token/cost management).
  • Proficiency with Python, SQL, and modern data/ML platforms (cloud-based preferred)
  • Strong understanding of data governance, model risk management, and responsible AI practices
  • Excellent communication skills with the ability to translate complex AI concepts for non-technical audiences

Preferred / Nice-to-Have

  • Experience in financial services, healthcare, life sciences, or other regulated industries
  • Exposure to generative AI, large language models (LLMs), and prompt engineering
  • Familiarity with MLOps tools, CI/CD for ML, and cloud platforms (AWS, Azure, or Google Cloud Platform)
  • Experience driving enterprise AI transformation or center-of-excellence models
  • Prior ownership of AI compliance, audit, or regulatory reviews

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